Selected Grantee Publications
Prostatic Escherichia coli Infection Drives CCR2-Dependent Recruitment of Fibrocytes and Collagen Production
Scharpf et al., Disease Models & Mechanisms. 2025.
https://pmc.ncbi.nlm.nih.gov/articles/PMC11789281
In men, lower urinary tract dysfunction (LUTD) is commonly linked to prostatic collagen accumulation through inflammation-mediated mechanisms. Researchers used 8- to 10-week-old male reporter mice, exposed to either sterile phosphate buffered saline (PBS) or Escherichia coli, to identify that circulating Lyz2+S100a4+Gli1+ myeloid-derived cells are recruited to the prostate to drive inflammation and collagen synthesis. Researchers also used 8- to 10-week-old male Ccr2‑/ - null and Ccr2+/- control mice, exposed to either sterile PBS or E. coli, to determine if Ccr2 is necessary for the fibrotic response to prostatic uropathogen infection. Results demonstrated that CCR2+ cells mediate the collagen abundance and fibrotic response to prostate inflammation. This study elucidates the cell types underlying prostate fibrosis and can be utilized to develop targeted therapies. Supported by ORIP (T32OD010957), NCI, NIDDK, and NIEHS.
Time of Sample Collection Is Critical for the Replicability of Microbiome Analyses
Allaband et al., Nature Metabolism. 2024.
https://pubmed.ncbi.nlm.nih.gov/38951660/
Lack of replicability remains a challenge in microbiome studies. As the microbiome field moves from descriptive and associative research to mechanistic and interventional studies, being able to account for all confounding variables in the experimental design will be critical. Researchers conducted a retrospective analysis of 16S amplicon sequencing studies in male mice. They report that sample collection time affects the conclusions drawn from microbiome studies. The lack of consistency in the time of sample collection could help explain poor cross-study replicability in microbiome research. The effect of diurnal rhythms on the outcomes and study designs of other fields is unknown but is likely significant. Supported by ORIP (T32OD017863), NCATS, NCI, NHLBI, NIAAA, NIAID, NIBIB, NIDDK, and NIGMS.
GenomeMUSter Mouse Genetic Variation Service Enables Multitrait, Multipopulation Data Integration and Analysis
Ball et al., Genome Research. 2024.
https://genome.cshlp.org/content/34/1/145.long
Advances in genetics, including transcriptome-wide and phenome-wide association analysis methods, create compelling new opportunities for using fully reproducible and widely studied inbred mouse strains to characterize the polygenetic basis for individual differences in disease-related traits. Investigators developed an imputation approach and implemented data service to provide a broad and more comprehensive mouse variant resource. They evaluated the strain-specific imputation accuracy on a “held-out” test set that was not used in the imputation process. The authors present its application to multipopulation and multispecies analyses of complex trait variation in type 2 diabetes and substance use disorders and compare these results to human genetics studies. Supported by ORIP (U42OD010921, P40OD011102, R24OD035408), NCI, NIAAA, NIDA, and NIDCD.